Learning Styles and Emotion Recognition in a Fuzzy Expert System

This paper presents a fuzzy system that recognizes learning styles and emotions using two different neural networks. The first neural network (a Kohonen neural network) recognizes the student cognitive style. The second neural network (a back-propagation neural network) was used to recognize the student emotion. Both neural networks are being part of a fuzzy system used into an intelligent tutoring system. The fuzzy system evaluates both cognitive and affective states in the student whenever he/she answers math exercises.